Persuade Oscar, the Grouch: A Design Approach for a Persuasive Gamified Smart Waste App

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dc.contributor.author Strunk, Jobin
dc.contributor.author Anschütz, Christian
dc.contributor.author Ebner, Katharina
dc.contributor.author Smolnik, Stefan
dc.date.accessioned 2023-12-26T18:53:33Z
dc.date.available 2023-12-26T18:53:33Z
dc.date.issued 2024-01-03
dc.identifier.isbn 978-0-9981331-7-1
dc.identifier.other 0454b6b4-a32d-46b3-b743-3365d9f1e24e
dc.identifier.uri https://hdl.handle.net/10125/107266
dc.language.iso eng
dc.relation.ispartof Proceedings of the 57th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Application, Adoption, and Impact of Emerging Technologies Minitrack
dc.subject design science
dc.subject gamification
dc.subject persuasive systems
dc.subject smart waste app
dc.title Persuade Oscar, the Grouch: A Design Approach for a Persuasive Gamified Smart Waste App
dc.type Conference Paper
dc.type.dcmi Text
dcterms.abstract Littering, for instance caused by awareness lacks on appropriate waste disposal, is one of the pollution causes in cities and can damage water , air , and soil. In the smart city context, smart waste apps (SWAs) can be used to address the change of citizens’ littering behavior by implementing persuasion. This research aims to pro- vide a first step toward a design theory for SWAs that enhances the internal motivation to engage in correct litter disposal. Our research follows a six-step design science approach to identify design requirements, de- rive design principles, and develop design features based on a literature review on SWAs and a series of expert workshops. We investigate which design princi- ples should guide SWAs’ design to select an adequate set of persuasive elements and, thus, better target litter- ing behavior change. The proposed prototypical SWA is expected to motivate citizens' littering behavior change, thereby, improving urban cleanliness.
dcterms.extent 10 pages
prism.startingpage 7333
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